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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li>  </ul>
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<div class="title">StandardGpuResources.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;GpuResources.h&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;utils/StackDeviceMemory.h&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;unordered_map&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment">/// Default implementation of GpuResources that allocates a cuBLAS</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">/// stream and 2 streams for use, as well as temporary memory</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">   21</a></span>&#160;<span class="comment"></span><span class="keyword">class </span><a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">StandardGpuResources</a> : <span class="keyword">public</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a> {</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160; <span class="keyword">public</span>:</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">StandardGpuResources</a>();</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;  ~<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">StandardGpuResources</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment">  /// Disable allocation of temporary memory; all temporary memory</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment">  /// requests will call cudaMalloc / cudaFree at the point of use</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">noTempMemory</a>();</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="comment">  /// Specify that we wish to use a certain fixed size of memory on</span></div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="comment">  /// all devices as temporary memory. This is the upper bound for the GPU</span></div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment">  /// memory that we will reserve. We will never go above 1.5 GiB on any GPU;</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment">  /// smaller GPUs (with &lt;= 4 GiB or &lt;= 8 GiB) will use less memory than that.</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment">  /// To avoid any temporary memory allocation, pass 0.</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">setTempMemory</a>(<span class="keywordtype">size_t</span> size);</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment">  /// Set amount of pinned memory to allocate, for async GPU &lt;-&gt; CPU</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment">  /// transfers</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">setPinnedMemory</a>(<span class="keywordtype">size_t</span> size);</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="comment">  /// Called to change the stream for work ordering</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">setDefaultStream</a>(<span class="keywordtype">int</span> device, cudaStream_t stream);</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="comment">  /// Called to change the work ordering streams to the null stream</span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="comment">  /// for all devices</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">setDefaultNullStreamAllDevices</a>();</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="comment">  /// Enable or disable the warning about not having enough temporary memory</span></div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="comment">  /// when cudaMalloc gets called</span></div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">setCudaMallocWarning</a>(<span class="keywordtype">bool</span> b);</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; <span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="comment">  /// Internal system calls</span></div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="comment"></span><span class="comment"></span></div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="comment">  /// Initialize resources for this device</span></div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;  cublasHandle_t <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">getBlasHandle</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">getDefaultStream</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  std::vector&lt;cudaStream_t&gt; <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">getAlternateStreams</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">getMemoryManager</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  std::pair&lt;void*, size_t&gt; <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">getPinnedMemory</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">getAsyncCopyStream</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160; <span class="keyword">private</span>:<span class="comment"></span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="comment">  /// Have GPU resources been initialized for this device yet?</span></div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="comment"></span>  <span class="keywordtype">bool</span> isInitialized(<span class="keywordtype">int</span> device) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="comment">  /// Adjust the default temporary memory allocation based on the total GPU</span></div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="comment">  /// memory size</span></div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="comment"></span>  <span class="keyword">static</span> <span class="keywordtype">size_t</span> getDefaultTempMemForGPU(<span class="keywordtype">int</span> device, <span class="keywordtype">size_t</span> requested);</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160; <span class="keyword">private</span>:<span class="comment"></span></div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="comment">  /// Our default stream that work is ordered on, one per each device</span></div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="comment"></span>  std::unordered_map&lt;int, cudaStream_t&gt; defaultStreams_;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="comment">  /// This contains particular streams as set by the user for</span></div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="comment">  /// ordering, if any</span></div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="comment"></span>  std::unordered_map&lt;int, cudaStream_t&gt; userDefaultStreams_;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="comment">  /// Other streams we can use, per each device</span></div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="comment"></span>  std::unordered_map&lt;int, std::vector&lt;cudaStream_t&gt; &gt; alternateStreams_;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="comment">  /// Async copy stream to use for GPU &lt;-&gt; CPU pinned memory copies</span></div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="comment"></span>  std::unordered_map&lt;int, cudaStream_t&gt; asyncCopyStreams_;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="comment">  /// cuBLAS handle for each device</span></div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="comment"></span>  std::unordered_map&lt;int, cublasHandle_t&gt; blasHandles_;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="comment">  /// Temporary memory provider, per each device</span></div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="comment"></span>  std::unordered_map&lt;int, std::unique_ptr&lt;StackDeviceMemory&gt; &gt; memory_;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="comment">  /// Pinned memory allocation for use with this GPU</span></div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="comment"></span>  <span class="keywordtype">void</span>* pinnedMemAlloc_;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keywordtype">size_t</span> pinnedMemAllocSize_;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="comment">  /// Another option is to use a specified amount of memory on all</span></div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="comment">  /// devices</span></div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;<span class="comment"></span>  <span class="keywordtype">size_t</span> tempMemSize_;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="comment">  /// Amount of pinned memory we should allocate</span></div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="comment"></span>  <span class="keywordtype">size_t</span> pinnedMemSize_;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;<span class="comment">  /// Whether or not a warning upon cudaMalloc is generated</span></div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="comment"></span>  <span class="keywordtype">bool</span> cudaMallocWarning_;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;};</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a5924b424c36dba8300866f1b98c438cb"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">faiss::gpu::StandardGpuResources::setDefaultStream</a></div><div class="ttdeci">void setDefaultStream(int device, cudaStream_t stream)</div><div class="ttdoc">Called to change the stream for work ordering. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00155">StandardGpuResources.cpp:155</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a7560435c7f45fd59d94ee947330a58da"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">faiss::gpu::StandardGpuResources::getBlasHandle</a></div><div class="ttdeci">cublasHandle_t getBlasHandle(int device) override</div><div class="ttdoc">Returns the cuBLAS handle that we use for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00262">StandardGpuResources.cpp:262</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a6431477a7328ac147797b3b4e3fcf651"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">faiss::gpu::StandardGpuResources::noTempMemory</a></div><div class="ttdeci">void noTempMemory()</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00115">StandardGpuResources.cpp:115</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_adb2729678638ed89f7b8b38470f96056"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">faiss::gpu::StandardGpuResources::initializeForDevice</a></div><div class="ttdeci">void initializeForDevice(int device) override</div><div class="ttdoc">Internal system calls. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00190">StandardGpuResources.cpp:190</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_adf89d4731c826df889f51fe42287b15d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">faiss::gpu::StandardGpuResources::getAsyncCopyStream</a></div><div class="ttdeci">cudaStream_t getAsyncCopyStream(int device) override</div><div class="ttdoc">Returns the stream on which we perform async CPU &amp;lt;-&amp;gt; GPU copies. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00290">StandardGpuResources.cpp:290</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a35da92117dd4b47ee773444af716d634"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">faiss::gpu::StandardGpuResources::getMemoryManager</a></div><div class="ttdeci">DeviceMemory &amp; getMemoryManager(int device) override</div><div class="ttdoc">Returns the temporary memory manager for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00279">StandardGpuResources.cpp:279</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html">faiss::gpu::GpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8h_source.html#l00021">GpuResources.h:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a3caad981d50370b9f5c121509eb2ed17"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">faiss::gpu::StandardGpuResources::setCudaMallocWarning</a></div><div class="ttdeci">void setCudaMallocWarning(bool b)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00174">StandardGpuResources.cpp:174</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a367102e65b16bfdc7a32770a4f5854a6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">faiss::gpu::StandardGpuResources::setTempMemory</a></div><div class="ttdeci">void setTempMemory(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00121">StandardGpuResources.cpp:121</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html">faiss::gpu::StandardGpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8h_source.html#l00021">StandardGpuResources.h:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_af9acb23ac323f85fa5dab4ed968ccd51"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">faiss::gpu::StandardGpuResources::setPinnedMemory</a></div><div class="ttdeci">void setPinnedMemory(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00146">StandardGpuResources.cpp:146</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a954f34ef68fd36b8d502ca3a21f7e8a8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">faiss::gpu::StandardGpuResources::getDefaultStream</a></div><div class="ttdeci">cudaStream_t getDefaultStream(int device) override</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00268">StandardGpuResources.cpp:268</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a5374f336f1957c266d7a5c185eb962a1"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">faiss::gpu::StandardGpuResources::setDefaultNullStreamAllDevices</a></div><div class="ttdeci">void setDefaultNullStreamAllDevices()</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00167">StandardGpuResources.cpp:167</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceMemory_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceMemory.html">faiss::gpu::DeviceMemory</a></div><div class="ttdoc">Manages temporary memory allocations on a GPU device. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceMemory_8h_source.html#l00044">DeviceMemory.h:44</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_ae7418f127cac2ac663ac0ae2e6f88e8d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">faiss::gpu::StandardGpuResources::getPinnedMemory</a></div><div class="ttdeci">std::pair&lt; void *, size_t &gt; getPinnedMemory() override</div><div class="ttdoc">Returns the available CPU pinned memory buffer. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00285">StandardGpuResources.cpp:285</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a9ebf68604864cb890a4c2e3d0a6f9952"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">faiss::gpu::StandardGpuResources::getAlternateStreams</a></div><div class="ttdeci">std::vector&lt; cudaStream_t &gt; getAlternateStreams(int device) override</div><div class="ttdoc">Returns the set of alternative streams that we use for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00274">StandardGpuResources.cpp:274</a></div></div>
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